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Predictive Analytics in Diabetes using oneR Classification Algorithm

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IJCA Proceedings on International Conference on Communication, Computing and Information Technology
© 2018 by IJCA Journal
ICCCMIT 2017 - Number 1
Year of Publication: 2018
Authors:
K. B. Priya Iyer
K. Pavithra
D. Nivetha
K. Kumudhavarshini

Priya K B Iyer, K Pavithra, D Nivetha and K Kumudhavarshini. Article: Predictive Analytics in Diabetes using oneR Classification Algorithm. IJCA Proceedings on International Conference on Communication, Computing and Information Technology ICCCMIT 2017(1):14-19, June 2018. Full text available. BibTeX

@article{key:article,
	author = {K. B. Priya Iyer and K. Pavithra and D. Nivetha and K. Kumudhavarshini},
	title = {Article: Predictive Analytics in Diabetes using oneR Classification Algorithm},
	journal = {IJCA Proceedings on International Conference on Communication, Computing and Information Technology},
	year = {2018},
	volume = {ICCCMIT 2017},
	number = {1},
	pages = {14-19},
	month = {June},
	note = {Full text available}
}

Abstract

Data mining is becoming one of the most important tool and means for discovering useful, realistic and essential interpretations and patterns in real world scenario. The discovery of knowledge from medical datasets is crucial in order to make effective medical diagnosis. This paper helps in predicting diabetes by applying the data mining technique called oneR rule. In this paper, oneR rule in classification has been used to predict a person whether diabetic or not. The dataset which had been collected contains the information of persons with and without diabetes. Software used is Weka tool for the experiment and analysis. oneR algorithm is applied on the dataset of persons collected. Results have been obtained. The accuracy is calculated as 80. 43 % which is high for predicting whether the person has diabetes or not.

References

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